The minimal surface equation is uniformly elliptic, at least in the sense that its linearization at any solution is uniformly elliptic. It will be convenient to rewrite the equation as $$\nabla \cdot \left(\frac{\nabla u}{\sqrt{1 + |\nabla u|^2}}\right) = 0$$ (this is the standard way that the equation is written on euclidean space, anyways). We now have the coefficient $A_{ij} = (1 + |\nabla u|^2)^{-1/2} \delta_{ij}$, and the PDE is $Pu := \nabla \cdot (A\nabla u) = 0$.
By elliptic regularity, the solution $u$ is smooth, so there exists $\varepsilon > 0$ such that on $B_{3/4}$ (say) we have $|\nabla u| < \varepsilon^{-1}$. On $\{|\nabla u| < 1\} \cap B_{3/4}$ we have $A_{ii} > 1/10$, and on $\{|\nabla u| \geq 1\} \cap B_{3/4}$ we have $A_{ii} > \varepsilon^{1/2}/10$. Therefore $P$ is a uniformly elliptic operator and we can apply the usual proof of Harnack's inequality.
EDIT 2: I guess this doesn't answer the question of whether we can remove the dependence of $C$ on the ellipticity constant. The answer is no, $C$ must depend on the ellipticity. I don't haveHere's an explicit example using a minimal surface, but you can already see why this is problematic by taking $(au')' = 0$ on $(0, 1)$. Clearly thisRecall that the catenoid is equivalentthe surface of revolution corresponding to the PDEcatenary $$au'' + a'u' = 0$$$$z = f(x) := \varepsilon \cosh\left(\frac{x}{\varepsilon}\right)$$ and it is minimal. Taking only half of the surface of revolution, we can takeget a minimal graph $a(x) = x^2 + \delta$$z = u(x, y)$ with $u > 0$. ThenConsider the solutionrestriction of $u$ to the equation is $$u(x) = \delta^{-1/2} \arctan(\delta^{-1/2} x)$$ which is positiveball $B$ of radius $1/4$ centered on $(0, 1)$$(x, y) = (1, 0)$. Then the graph of $u$ contains the the catenary, and forso $\delta$ small is approximately arbitrarily well by$\inf_B u \leq f(0.75)$ and $x/\delta$$\sup_B u \geq f(1.25)$. ThusNow we estimate the Harnack inequality, taken say inratio $$\frac{\sup_B u}{\inf_B u} \geq \frac{f(1.25)}{f(0.75)} = \frac{\cosh(1.25/\varepsilon)}{\cosh(0.75/\varepsilon)}$$ which blows up as $(1/4, 3/4)$ becomes arbitrarily bad!$\varepsilon \to 0$.